"Repository information for My-FastMCP-Development-Assistant-MCP on GitHub" matching MCP servers:

Enables AI applications to automatically analyze local repositories and create GitHub repositories with proper configuration, topics, and complete setup workflow.

Enables AI assistants to discover, retrieve, and compare official international development indicators from sources such as the World Bank, FAOSTAT, WHO, UNICEF, and IMF, while preserving source identifiers, units, and citations.

Enables AI models to access GitHub repository contents as context, with features to fetch entire repositories, specific file contents, and repository structures for use in AI interactions.

Enables comprehensive GitHub workflow automation including Actions monitoring, PR management, code search, file operations, and repository management through a code-first architecture that reduces token usage by 98%.

A simple MCP server for task management with Bearer token authentication, supporting create, complete, and list tasks operations.

Provides tools for managing GitHub sub-issues and milestones, including adding/removing sub-issues, getting parent issues, and setting milestones.

Enables MCP clients to ask natural-language questions over GitHub docs and code, retrieving permission-filtered context through hybrid search and reranking and returning cited answers with GitHub permalinks. It also redacts secrets/PII before indexing and records audit events for who saw what.

Provides SQL database access via MCP, supporting PostgreSQL, MySQL, and SQLite with tools for listing tables, getting schemas, and executing queries.

A Model Context Protocol server that enables seamless integration between Claude AI and development tools like VSCode, Augment, Vercel, Airtable, and Square.

A template MCP server that provides a basic structure and configuration for building Model Context Protocol servers. Includes Docker support, environment configuration, and examples for both STDIO and SSE transport modes.

A Model Context Protocol server built with FastMCP that enables dynamic tool loading and configuration from individual Python files. It provides a flexible framework for automatically discovering, testing, and running tools via Stdio or HTTP transport modes.

An MCP server that allows Claude and other MCP-compatible LLMs to interact with the GitHub API, supporting features like creating issues, getting repository information, listing issues, and searching repositories.

Enables interaction with openGauss databases through multiple transport methods (Stdio, SSE, Streamable-Http). Supports database operations and queries with configurable connection parameters.

Facilitates spec-driven development workflows by providing structured prompts for generating requirements in EARS format, design documents, and implementation code following a systematic approach.

A template for deploying an MCP server on Vercel, with example tools like roll_dice and get_weather.

A secure and efficient MCP server for MySQL database operations, enabling LLMs to execute SQL queries with read-only access by default and optional write permissions.

Enables AI assistants to interact with GitHub directly by fetching repository information, creating issues, and triggering repository_dispatch events through natural language.

Enables deploying production-ready MCP servers with built-in authentication, rate limiting, data desensitization, audit logging, and session isolation, ready for Kubernetes.

Provides a central gateway to 170+ offline mock MCP servers with deterministic fixture-based responses and per-server SQLite state, enabling realistic credential-free agent trajectory testing and multi-step workflow rehearsal.

A boilerplate MCP server built with Python and FastMCP, ready for deployment on Render, with example tools and logging.